There is more to exams than simply knowing stuff. You need to be able to use that knowledge to relate your answer to questions about particular scenarios, case studies or problems.
There are a number of things to consider when answering exam questions:
Smart Revise helps you prepare for the different types of questions in your exams.
Set the topic filters to the topics you want to focus on. These may be controlled by your teacher if you have joined a class.
Select Advance and navigate to a question you want to attempt.
Start with the one or two-mark questions and work up from there.
Use command word help to know how to approach the question, the number of marks to guide your response, and the size of the text box to judge the number of lines in a real exam.
Use the guided marking system to evaluate your answer.
The references provide links to resources if you need to learn more about this topic.
Computer Science courses also include model answer videos.
You can see how well you are getting on using your personal revision report.
It's never too early to start. Every week Smart Revise will set you a personalised goal.
The questions in Advance mode can be quite daunting the first time you see them. Smart Revise will start with lower mark questions and work up to the harder ones. Don't avoid Advance mode just because it is harder. You can't just use Quiz and Terms and expect to get the high grade. You need to be using a mix of all three modes.
That's the basics but if you want to learn more about Advance, here you go...

Interleaving
Means mixing questions from different topics together. It has been shown to help memory retention more than blocking - looking at just one topic at a time.
Pseudorandom
Means a deterministic but seemingly random order. Random would mean the current question could possibly appear as the next question too. Pseudorandom order prevents this happening.
Spaced learning
Means a period of time elapses between seeing the same question again. Spaced learning has proven to enable the best memory retention effectively beating the forgetting curve.
Interleaving
Means mixing questions from different topics together. It has been shown to help memory retention more than blocking - looking at just one topic at a time.
Pseudorandom
Means a deterministic but seemingly random order. Random would mean the current question could possibly appear as the next question too. Pseudorandom order prevents this happening.
Spaced learning
Means a period of time elapses between seeing the same question again. Spaced learning has proven to enable the best memory retention effectively beating the forgetting curve.
Interleaving
Means mixing questions from different topics together. It has been shown to help memory retention more than blocking - looking at just one topic at a time.
Pseudorandom
Means a deterministic but seemingly random order. Random would mean the current question could possibly appear as the next question too. Pseudorandom order prevents this happening.
Spaced learning
Means a period of time elapses between seeing the same question again. Spaced learning has proven to enable the best memory retention effectively beating the forgetting curve.
Interleaving
Means mixing questions from different topics together. It has been shown to help memory retention more than blocking - looking at just one topic at a time.
Pseudorandom
Means a deterministic but seemingly random order. Random would mean the current question could possibly appear as the next question too. Pseudorandom order prevents this happening.
Spaced learning
Means a period of time elapses between seeing the same question again. Spaced learning has proven to enable the best memory retention effectively beating the forgetting curve.
Interleaving
Means mixing questions from different topics together. It has been shown to help memory retention more than blocking - looking at just one topic at a time.
Pseudorandom
Means a deterministic but seemingly random order. Random would mean the current question could possibly appear as the next question too. Pseudorandom order prevents this happening.
Spaced learning
Means a period of time elapses between seeing the same question again. Spaced learning has proven to enable the best memory retention effectively beating the forgetting curve.